[slides] #IoT Time Series Data | @ThingsExpo #M2M #ML #BigData #Monitoring

IoT generates lots of temporal data. But how do you unlock its value? You need to discover patterns that are repeatable in vast quantities of data, understand their meaning, and implement scalable monitoring across multiple data streams in order to monetize the discoveries and insights. Motif discovery and deep learning platforms are emerging to visualize sensor data, to search for patterns and to build application that can monitor real time streams efficiently. In his session at @ThingsExpo, Dave Watson, CTO and Co-Founder of Trendalyze, discussed real world IoT projects from UK environmental monitoring using Mosquitto, Node-RED, Kafka, Spark, MLlib and R.

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